{"id":"https://openalex.org/W2595946440","doi":"https://doi.org/10.1117/12.2254068","title":"An automatic cells detection and segmentation","display_name":"An automatic cells detection and segmentation","publication_year":2017,"publication_date":"2017-03-13","ids":{"openalex":"https://openalex.org/W2595946440","doi":"https://doi.org/10.1117/12.2254068","mag":"2595946440"},"language":"en","primary_location":{"id":"doi:10.1117/12.2254068","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2254068","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016596228","display_name":"Ligong Han","orcid":"https://orcid.org/0000-0003-3166-0848"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ligong Han","raw_affiliation_strings":["Carnegie Mellon Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon Univ. (United States)","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023725893","display_name":"Ngan Le","orcid":"https://orcid.org/0000-0003-2571-0511"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Hoang Ngan Le","raw_affiliation_strings":["Carnegie Mellon Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon Univ. (United States)","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057959136","display_name":"Marios Savvides","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marios Savvides","raw_affiliation_strings":["Carnegie Mellon Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon Univ. (United States)","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10137","issue":null,"first_page":"101370W","last_page":"101370W"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9549000263214111,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7460692524909973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6937637329101562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6255060434341431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6180776357650757},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5182507038116455},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5046864748001099},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46590763330459595},{"id":"https://openalex.org/keywords/red-blood-cell","display_name":"Red blood cell","score":0.4450991749763489},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.43302828073501587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19900578260421753},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.151421457529068},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13094806671142578},{"id":"https://openalex.org/keywords/immunology","display_name":"Immunology","score":0.0768221914768219}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7460692524909973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6937637329101562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6255060434341431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6180776357650757},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5182507038116455},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5046864748001099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46590763330459595},{"id":"https://openalex.org/C2776557347","wikidata":"https://www.wikidata.org/wiki/Q37187","display_name":"Red blood cell","level":2,"score":0.4450991749763489},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.43302828073501587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19900578260421753},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.151421457529068},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13094806671142578},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0768221914768219},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2254068","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2254068","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W239964042","https://openalex.org/W1529616657","https://openalex.org/W1579099812","https://openalex.org/W1791011331","https://openalex.org/W1895806900","https://openalex.org/W1941812433","https://openalex.org/W1983626406","https://openalex.org/W2000897614","https://openalex.org/W2001172495","https://openalex.org/W2011503872","https://openalex.org/W2051765910","https://openalex.org/W2093075920","https://openalex.org/W2105594236","https://openalex.org/W2116040950","https://openalex.org/W2128074360","https://openalex.org/W2138398901","https://openalex.org/W2144767001","https://openalex.org/W2165414070","https://openalex.org/W2293491450","https://openalex.org/W2534622136","https://openalex.org/W2538840351","https://openalex.org/W4243919758","https://openalex.org/W6609178444","https://openalex.org/W6631545688","https://openalex.org/W6639570313","https://openalex.org/W6640737849","https://openalex.org/W6646350458","https://openalex.org/W6650527785","https://openalex.org/W6673490701","https://openalex.org/W6679373520","https://openalex.org/W6680254526","https://openalex.org/W6728568062"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W4200090190","https://openalex.org/W1970332210","https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4301594054","https://openalex.org/W2794488505","https://openalex.org/W2802511870","https://openalex.org/W1522196789","https://openalex.org/W2372581239"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,99,129],"end-to-end":[4],"framework":[5],"for":[6],"automatically":[7,89],"detecting":[8],"and":[9,30,47,65,80,93,111,116,136,172,183,193,200,210],"segmenting":[10],"blood":[11,16,32,54],"cells":[12,17,33],"including":[13],"normal":[14,164],"red":[15],"(RBCs),":[18],"connected":[19,126,141],"RBCs,":[20,118],"abnormal":[21,130,160],"RBCs":[22,46,64,79,92,138,142,161,196],"(i.e.":[23],"tear":[24],"drop,":[25],"burr":[26],"cell,":[27],"helmet,":[28],"etc.)":[29],"white":[31],"(WBCs).":[34],"Our":[35,166],"proposed":[36,84,167,216],"system":[37],"contains":[38],"several":[39],"components":[40],"to":[41,61,76,88,157,221],"solve":[42],"different":[43,175],"problems":[44],"regarding":[45],"WBCs.":[48],"We":[49],"first":[50,134],"design":[51],"a":[52,122,125],"novel":[53],"cell":[55],"color":[56],"representation":[57],"which":[58,105],"is":[59,73,154],"able":[60],"emphasize":[62],"the":[63,91,140,159,163,184],"WBCs":[66,81,206,217],"in":[67,82],"separate":[68,135],"channels.":[69],"Template":[70],"matching":[71,150],"technique":[72],"then":[74],"employed":[75],"individually":[77],"detect":[78],"our":[83,144,215],"representation.":[85],"In":[86],"order":[87],"segment":[90],"nuclei":[94],"from":[95,139,162,177],"WBCs,":[96],"we":[97,133],"develop":[98],"adaptive":[100],"level":[101],"set-based":[102],"segmentation":[103,218],"method":[104,168],"makes":[106],"use":[107],"of":[108,195,205,214],"both":[109],"local":[110],"global":[112],"information.":[113],"The":[114,191,212],"detected":[115],"segmented":[117],"however,":[119],"can":[120],"be":[121],"single":[123],"RBC,":[124],"RBC":[127],"or":[128],"RBC.":[131],"Therefore,":[132],"reconstruct":[137],"by":[143,151,187],"suggested":[145],"modified":[146],"template":[147],"matching.":[148],"Shape":[149],"inner":[152],"distance":[153],"later":[155],"used":[156,186],"classify":[158],"RBCs.":[165],"has":[169],"been":[170],"tested":[171],"evaluated":[173],"on":[174],"images":[176],"ALL-IDB,<sup>10</sup>":[178],"WebPath,<sup>24</sup>":[179],"UPMC,<sup>23</sup>":[180],"Flicker":[181],"datasets,":[182],"one":[185],"Mohamed":[188],"et":[189],"al.<sup>14</sup>":[190],"precision":[192],"recall":[194],"detection":[197,207],"are":[198,208],"98.43%":[199],"94.99%":[201],"respectively,":[202],"whereas":[203],"those":[204],"99.12%":[209],"99.12%.":[211],"F-measure":[213],"gets":[219],"up":[220],"95.8%.":[222]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
